Co-combustion of sewage sludge and coffee grounds under increased O2/CO2 atmospheres: Thermodynamic characteristics, kinetics and artificial neural network modeling

Jiacong Chen; Candie Xie; Jingyong Liu; Yao He; Wuming Xie; Xiaochun Zhang; Kenlin Chang; Jiahong Kuo; Jian Sun; Li Zheng; Shuiyu Sun; Musa Buyukada; Fatih Evrendilek

doi:10.1016/j.biortech.2017.11.031

Co-combustion of sewage sludge and coffee grounds under increased O₂/CO₂ atmospheres: Thermodynamic characteristics, kinetics and artificial neural network modeling

Bioresour Technol. 2018 Feb:250:230-238. doi: 10.1016/j.biortech.2017.11.031. Epub 2017 Nov 13.

Authors

Jiacong Chen¹, Candie Xie¹, Jingyong Liu², Yao He¹, Wuming Xie¹, Xiaochun Zhang¹, Kenlin Chang³, Jiahong Kuo¹, Jian Sun¹, Li Zheng¹, Shuiyu Sun¹, Musa Buyukada⁴, Fatih Evrendilek⁴

Affiliations

¹ School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China.
² School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China. Electronic address: www053991@126.com.
³ School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Institute of Environmental Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan.
⁴ Department of Environmental Engineering, Abant Izzet Baysal University, 14052 Bolu, Turkey.

PMID: 29174900
DOI: 10.1016/j.biortech.2017.11.031

Abstract

(Co-)combustion characteristics of sewage sludge (SS), coffee grounds (CG) and their blends were quantified under increased O₂/CO₂ atmosphere (21, 30, 40 and 60%) using a thermogravimetric analysis. Observed percentages of CG mass loss and its maximum were higher than those of SS. Under the same atmospheric O₂ concentration, both higher ignition and lower burnout temperatures occurred with the increased CG content. Results showed that ignition temperature and comprehensive combustion index for the blend of 60%SS-40%CG increased, whereas burnout temperature and co-combustion time decreased with the increased O₂ concentration. Artificial neural network was applied to predict mass loss percent as a function of gas mixing ratio, heating rate, and temperature, with a good agreement between the experimental and ANN-predicted values. Activation energy in response to the increased O₂ concentration was found to increase from 218.91 to 347.32 kJ·mol^-1 and from 218.34 to 340.08 kJ·mol^-1 according to the Kissinger-Akahira-Sunose and Flynn-Wall-Ozawa methods, respectively.

Keywords: Empirical modeling; Kinetics; Mixed O(2)/CO(2) atmosphere; Thermogravimetric analysis.

MeSH terms

Atmosphere
Carbon Dioxide
Coffee
Kinetics
Neural Networks, Computer*
Sewage*
Thermodynamics
Thermogravimetry

Substances

Coffee
Sewage
Carbon Dioxide